**BharatGen** presents **Param-2-17B-MoE-A2.4B**, a large-scale Mixture-of-Experts (MoE) language model designed to deliver high model capacity while retaining the inference efficiency of a much smaller dense model. It uses a **Hybrid MoE architecture** with **17B total parameters**, while activating only **2.4B parameters per token**. The model is pretrained from scratch, with a strong emphasis on **linguistic diversity**, **cultural grounding**, and **multilingual representation**, particularly for Indian languages. It is released as an **early post-training checkpoint** with advanced capabilities including reasoning, tool calling, mathematics, and code generation, making it suitable for diverse downstream applications and further fine-tuning. This broad language coverage enables stronger performance on **region-specific tasks** and promotes **inclusive representation** of India’s diverse and underrepresented linguistic communities.

Text generation

Input Text→ Output Text

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patram-7b-instruct

bharatgenai

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Visual QA

Input Text · Image→ Output Text

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Shrutam-2

bharatgenai

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Speech recognition

Input Audio→ Output Text

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sooktam2

bharatgenai

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Speech synthesis

Input Text→ Output Audio

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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